Senior Data Engineer: Analytics & Applied AI (Remote)

Ladders; United States; Remote; USD 113,000 - 188,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

401(k) Retirement Plan

Parental Leave

Transit Benefits

Employee Assistance Program

Tuition Reimbursement

Learning Opportunities

Holiday and Sick Time

Job summary

Ladders is seeking a Senior Data Engineer (Analytics & Applied AI) to build and operate data platforms across ingestion, transformation, and analytics, ensuring reliable, auditable foundations that support both analytical workflows and application serving.

You will partner with stakeholders to design cloud-based pipelines on AWS, enforce data quality, and make independent architectural decisions that scale and increase trust in the data environment.

Qualifications

• 6+ years in data engineering or software engineering with production systems.
• Strong production-quality Python skills.
• Expertise in SQL with complex queries.
• Hands-on experience with AWS data and compute stack.
• Experience with infrastructure as code (Terraform or CDK).

Responsibilities

• Own data platforms from ingestion to analytics with emphasis on correctness and auditability.
• Write production-quality Python code and develop software, not just scripts.
• Design and orchestrate cloud data pipelines on AWS with robust error handling.
• Model data for analytics and application serving, ensuring clear data structures.
• Implement data-quality checks that validate outputs before publication.
• Drive architecture and technical decisions independently.
• Leverage AI coding tools to enhance development efficiency.

Skills

Python

SQL

AWS

Terraform

CDK

Autonomous work

Education

University degree or equivalent experience

Tools

Terraform

CDK

Job description

Ladders is seeking a Senior Data Engineer (Analytics & Applied AI) to build and operate data platforms across ingestion, transformation, and analytics, ensuring reliable, auditable foundations that support both analytical workflows and application serving.

You will partner with stakeholders to design cloud-based pipelines on AWS, enforce data quality, and make independent architectural decisions that scale and increase trust in the data environment.